remove trailing whitespace from launch files

launch/azimut3/config/base_local_planner_params.yaml

@@ -5,7 +5,7 @@ TrajectoryPlannerROS:
   acc_lim_y:  0.75
   acc_lim_theta: 4
   # min_vel_x and max_rotational_vel were set to keep the ICR at
-  # minimal distance of 0.48 m. 
+  # minimal distance of 0.48 m.
   # Basically, max_rotational_vel * rho_min <= min_vel_x
   max_vel_x:  0.5
   min_vel_x:  0.24
@@ -17,7 +17,7 @@ TrajectoryPlannerROS:
   xy_goal_tolerance:  0.25
   yaw_goal_tolerance: 0.25
   latch_xy_goal_tolerance: true
-  
+
   # make sure that the minimum velocity multiplied by the sim_period is less than twice the tolerance on a goal. Otherwise, the robot will prefer to rotate in place just outside of range of its target position rather than moving towards the goal.
   sim_time: 1.5 # set between 1 and 2. The higher he value, the smoother the path (though more samples would be required).
   sim_granularity: 0.025
@@ -35,7 +35,7 @@ TrajectoryPlannerROS:
 #move_base
 controller_frequency: 10.0 #The robot can move faster when higher.
 
-#global planner 
+#global planner
 NavfnROS:
     allow_unknown: true
     visualize_potential: false

launch/azimut3/config/local_costmap_params_2d.yaml

@@ -18,23 +18,23 @@ obstacle_layer:
   raytrace_range: 3.0
   max_obstacle_height: 0.4
   track_unknown_space: true
- 
+
   observation_sources: laser_scan_sensor point_cloud_sensorA point_cloud_sensorB
 
   laser_scan_sensor: {
-    data_type: LaserScan, 
-    topic: base_scan, 
-    expected_update_rate: 0.2, 
-    marking: true, 
+    data_type: LaserScan,
+    topic: base_scan,
+    expected_update_rate: 0.2,
+    marking: true,
     clearing: true
   }
 
   point_cloud_sensorA: {
     sensor_frame: base_footprint,
-    data_type: PointCloud2, 
-    topic: obstacles_cloud, 
-    expected_update_rate: 0.5, 
-    marking: true, 
+    data_type: PointCloud2,
+    topic: obstacles_cloud,
+    expected_update_rate: 0.5,
+    marking: true,
     clearing: true,
     min_obstacle_height: 0.04
   }

launch/azimut3/config/local_costmap_params_3d.yaml

@@ -15,19 +15,19 @@ local_costmap:
   observation_sources: point_cloud_sensor
 
   laser_scan_sensor: {
-    data_type: LaserScan, 
-    topic: base_scan, 
-    expected_update_rate: 0.2, 
-    marking: true, 
+    data_type: LaserScan,
+    topic: base_scan,
+    expected_update_rate: 0.2,
+    marking: true,
     clearing: true}
 
   # assuming receiving a cloud from rtabmap/obstacles_detection node
   point_cloud_sensor: {
     sensor_frame: base_footprint,
-    data_type: PointCloud2, 
-    topic: openni_points, 
-    expected_update_rate: 0.5, 
-    marking: true, 
+    data_type: PointCloud2,
+    topic: openni_points,
+    expected_update_rate: 0.5,
+    marking: true,
     clearing: true,
     min_obstacle_height: -99999.0,
     max_obstacle_height: 0.5}